Statistical Analysis Of Data Research Articles

Habitat structure and an introduced predator limit the abundance of an endangered ground-nesting bird.

Understanding the factors that limit the abundance of threatened species is critical for the development of effective conservation strategies. However, gaining such knowledge from monitoring programs and using it to inform decision-making for rare species can be difficult due to methodological issues posed by the problems of distinguishing true absences from false absences and the analysis of datasets dominated by zero counts. The plains-wanderer (Pedionomus torquatus) is a critically endangered ground-nesting bird that occurs in grasslands of southeastern Australia. Decline of the plains-wanderer has been attributed to habitat modification but little emphasis has been placed on the role of introduced predators, such as the red fox (Vulpes vulpes), which have had a devastating effect on small ground-dwelling vertebrates in dryland regions of Australia. Here, we use a 9-year time series of spotlight counts to investigate the impact of vegetation structure and fox presence on plains-wanderer occupancy and abundance. We used distance sampling to determine the effective strip width for sighting plains-wanderers during spotlight surveys. We then used a hurdle model approach whereby binomial generalized additive models were fitted to presence/absence data within the effective strip-width across all sites and negative-binomial models were fitted to an index of abundance at sites where plains-wanderers were observed. Plains-wanderer occupancy and abundance fluctuated markedly through time. Where foxes were absent, occupancy (but not abundance) of plains-wanderers showed a humped relationship with grass height with an optimal height between 50 and 150 mm. Where foxes were present however, this relationship broke down and plains-wanderers were rarely recorded. Our results suggest that plains-wanderers should benefit from management strategies that maintain grass height at optimal levels and exclude foxes or effectively suppress their populations. A key message from this study is that if statistical analyses of data generated by monitoring programs for rare species are intended to inform management decisions by identifying relationships between threatened species and drivers of their abundance, there should be consideration of analytic approaches that account for true and false zeroes, high prevalence of zeroes, and the possibility of nonlinear responses.

Evaluation of an education program upon women's knowledge toward management of Breast Self – Examination(BSE)

To determine the evaluation of education program on women's knowledge regarding managing BSE. The present quasi- experimental study, Non-probability (purposive), sample consisting of (260) women who are employee, and students in both colleges (Nursing college, Medical and Health Techniques College). The sample consist of two groups, study group (130) including those in (Nursing college), and control group (130) in (Medical and Health Techniques College). A questionnaire was constructed which included, Demographic information, Reproductive information, Family history, Previous medical history, and information about women's knowledge toward management of breast self examination (BSE). Instrument validity and reliability was determined. Data were collected through the use of the questionnaire, the application of the educational program a post-test was done for the study only which use the lectures, booklets, training practice of BSE, and video film. Analysis of data was performed through the application of descriptive and inferential statistical data analysis approach. Revealed that the women in the study group had benefited from the implementation of the educational program; their knowledge regarding managing BSE was adequately improved and developed. The study illustrated significant difference between women's knowledge means in pre and post test periods regarding their managing for BSE. Implementation of proposed model of continuous medical education for women for BSE within the scope of their work.

Collectivism-Based Travel Culture as the Antecedents of Travel FOMO And Intention to Travel Responsibly

As collectivists, Indonesians tend to travel with friends and family. The destination is usually inspired by social media content which then will increase fear-of-missing-out anxiety (FOMO) for traveling because it generates travel intention. A previous study claimed that collectivist culture has a strong correlation with FOMO behavior. This research analyzes the role of collectivism-based travel culture as the antecedent of travel FOMO on Indonesian domestic tourists. High travel intention may lead to high profits for tourism businesses, but the sustainability of the natural habitat of the natural tourism destinations is no less important. Tourists must also increase their intention to travel responsibly when visiting natural destinations to protect nature. This study employed an empirical quantitative research method with 340 sample data of Indonesian domestic tourists. The analysis of statistical data analysis is provided from PLS-SEM. This research is limited to collectivist behavioral observation of Indonesian domestic tourists to natural tourism destinations. Future studies can be conducted on different cultural dimensions and tourism market segmentation. The analysis showed that the collectivism-based travel culture of Indonesian tourists had positive influences on both travel FOMO and intention to travel responsibly individually, but will bring damage if combined.

Impacting factors and degree of influence on the selection of ICT subject in GCE Advanced Level

Education in Sri Lankan education focuses on accelerating the country’s knowledge economy by producing skilled and knowledgeable people who suit present-day needs. Moreover, society wants universities to produce graduates, and of course, those graduates must be employable. Meanwhile, job opportunity is guaranteed for job seekers skilled in Information and Communication Technologies (ICT) nowadays. Thus, the Sri Lankan government introduced a new stream “Technology” in the year 2015 as an educational reform. The success level of this government initiative should be measured in an acceptable form for further improvements. The most productive way to measure success measuring the interest of students in ICT on GCE A/L, and the factors that influence it. This study was conducted to examine the factors fluencing ICT subject selection by GCE Advanced Level students and to find out the degree of influence of each factor. The coastal region area of Ampara district of Sri Lanka was covered as a sample population for our study. Data to find out the influencing factors were collected by having One on-One interviews with four categories of stakeholder groups, namely principals or deputy principals, teachers, students, and parents, and prepared a questionnaire with these factors and distributed among the A/L students from different schools to gather their opinions from 266 respondents to find out the degree of influence of factors using the convenience sampling technique. Later, the answers to the questionnaire were analyzed by a statistical data analysis tool which shows that the family income, awareness programme, other main subjects in A/L, and the results of mathematics, English, and ICT subjects in O/L are affecting the ICT subject selection in A/L, meanwhile the results says that gender, parents’ education, and previously followed ICT related courses are not having relations in A/L ICT subject selection, and it revealed the degree of top encouraging factors such job market, opportunities in higher education, and getting high z-score and discouraging factors such lack of resources available in the medium, having no relevancy with other main subjects, and lack of interest in IT.

Environmental Enteropathy (EE): A Critical Challenge in Indian Public Health

There is strong causal relationship between stunting and Environmental Enteropathy, a subclinical condition of the small intestines. The biological plausibility for Environmental Enteropathy being a strong causal pathway for stunting has important policy implication in improving WASH in India, which has the highest incidence of stunting in the world. Four states of India namely, Uttar Pradesh, Jharkhand, Bihar and Assam have high incidence of stunting. This paper focuses on the association of WASH with stunting in these states. Review of literature and statistical analysis of data from IMIS of the MDWS, GOI provide certain critical findings in this respect. It was observed that all these states have low sanitation facilities and low coverage of piped water supply. Also, there is little surveillance of bacteriological quality of water in these states. Further, sanitary survey of the water sources to assess the risk of contamination of the sources have also been very poor. It is likely that children in these states face higher incidence of Environmental Enteropathy, which being asymptotic makes it difficult to identify the children living in such condition for child specific interventions.

Indoor environmental evaluation of traditional Chinese medicine clinic – taking the treatment space as an example

ABSTRACT Currently, there are no targeted standards and norms for Chinese medicine clinic diagnosis and treatment space. This study conducted field research in nine Chinese medicine clinics located in Hangzhou. The field research included the measurement of physical environment data in addition to the patients' subjective evaluation of the factors of the physical environment and design within the clinics, followed by statistical data analysis. The results show that the order of importance of physical environment factors in the diagnosis and treatment space was as follows: air quality > sound pressure level > humidity > temperature and the order of importance of the design factors were as follows: access route > supporting facilities > overall style > spatial scale > barrier-free design > cultural atmosphere and the order of importance of the spatial scale factors were as follows: area > the number of beds > window-to-wall ratio > floor height. The study presents the reference values of the physical environment parameters and spatial scale of the Chinese medicine clinics and the importance ranking of each factor.

Unmasking aflatoxin hazards in maize for human consumption: investigating maize contamination in Mwanza Markets, Tanzania

Background: Aflatoxin arises from toxigenic Aspergillus species, which infect maize because of improper storage, insufficient drying, extended storage periods, and suboptimal farming practices. This study investigated the aflatoxin contamination in maize for human consumption within specific markets of Mwanza, Tanzania. Methodology: A cross-sectional study was conducted from June to August 2021. Maize samples were analyzed using ELISA followed by descriptive statistical data analysis. Results: A total of 90 maize merchants from 8 local markets were involved. Their mean age was 34.7 (± 6.7) years, majority were male (51 out of 90, 56.7%). Among the vendors, the majority were not aware of aflatoxin (62 out of 90, 68.9%), stored maize in polypropylene woven bags (62 out of 90, 68.98%) and dried the maize before storage (86 out of 90, 95.6%). Out of the 90 samples, 10 (11.1%) had aflatoxin contamination above 1µg/kg, ranging from 1.01µg/kg to 33.4µg/kg with 3 (3.3%) being contaminated above the acceptable standard (≥10µg/kg). Conclusion: The levels of aflatoxin contamination in maize for human consumption exceed the established safety thresholds. Governments in lower and middle-income nations should intensify enforcement of regulations aimed at enhancing community awareness regarding aflatoxin risks and minimizing contaminations. Keywords: Maize vendors; maize contamination; polypropylene woven bags; Aflatoxin.

A probabilistic time-dependent corrosion wastage model for offshore platforms based on reverse diffusion model

Corrosion wastage poses significant challenges to offshore platforms, making accurate corrosion depth prediction crucial for structural integrity and extending service life. This study addresses the limitations in measurement processes by integrating a reverse diffusion model into the traditional probabilistic corrosion wastage model, enabling comprehensive analysis of corrosion data. The reverse diffusion model effectively manages data uncertainty and noise, leading to a proposed probabilistic model that incorporates measurement uncertainty. This model not only mitigates data noise and errors but also improves the reliability and robustness of corrosion depth predictions for offshore platforms. Initially, statistical analysis of corrosion data from offshore mobile platforms confirmed that the corrosion rate and depth distribution of local components follow a Weibull distribution. The effectiveness of the reverse diffusion model was validated by comparing the probability distributions of original data with those processed using the model. Finally, leveraging the optimized data and an empirical corrosion model for ships, a probabilistic model for time-dependent corrosion wastage in offshore platforms was developed, and its reliability was assessed. The proposed model enhances the accuracy of corrosion predictions, contributing to better management of corrosion risks in offshore platform structures.

A Sparse Beta Regression Model for Network Analysis

For statistical analysis of network data, the β -model has emerged as a useful tool, thanks to its flexibility in incorporating nodewise heterogeneity and theoretical tractability. To generalize the β -model, this paper proposes the Sparse β -Regression Model (S β RM) that unites two research themes developed recently in modelling homophily and sparsity. In particular, we employ differential heterogeneity that assigns weights only to important nodes and propose penalized likelihood with an ℓ 1 penalty for parameter estimation. While our estimation method is closely related to the LASSO method for logistic regression, we develop a new theory emphasizing the use of our model for dealing with a parameter regime that can handle sparse networks usually seen in practice. More interestingly, the resulting inference on the homophily parameter demands no debiasing normally employed in LASSO type estimation. We provide extensive simulation and data analysis to illustrate the use of the model. As a special case of our model, we extend the Erdős-Rényi model by including covariates and develop the associated statistical inference for sparse networks, which may be of independent interest.

Анализ состояния дорожно-транспортного травматизма, связанный со средствами индивидуальной мобильности в Хабаровском крае

This scientific article analyzes the situation related to road accidents occurring with personal vehicles in the Khabarovsk Territory. The analysis found that the main factors influencing the level of road accidents are speeding, violation of traffic rules and improper behavior of drivers. Most accidents occur with the participation of motorcycles, scooters and bicycles, which indicates insufficient road culture of the owners of such vehicles Purpose: to analyze the state of road traffic injuries associated with personal mobility devices in the Khabarovsk Territory. Methods: statistical analysis of data on road accidents in the Khabarovsk Territory for 2022. Results: dased on the results obtained, specific measures were proposed aimed at reducing the number of road accidents in the Khabarovsk Territory. One of the main directions of work is conducting educational work among the population about the need to comply with traffic rules and responsible behavior on the roads. Also important is the improvement of road infrastructure and the creation of safe conditions for the movement of pedestrians and cyclists. Practical importance: in general, the results of this study can be recommended to government agencies and road safety specialists when developing programs to reduce road accidents in the Khabarovsk Territory.

Переходные участки бесстыкового пути, примыкающие к стрелочным переводам

Purpose: consider the problem of interaction between turnouts and adjacent sections of a seamless railway track. Methods: statistical data analysis. Results: an analysis of the results of domestic and foreign studies has been carried out, which show that in such areas there is a jump with subsequent extrusion of material of less rigidity and an increase in the slope of the elastic unevenness, i. e., an undesirable phenomenon occurs — a shock wave. The impact force depends on the mass of the rolling stock and the speed of movement, the geometric evenness of the rail track and the chosen approaches to designing the transition zone as a whole. Jump and mainly occurs due to compression and pushing out of structural layers and materials of lower rigidity in the under-rail area. The impact force depends on the mass of the rolling stock and the speed of movement, the geometric evenness of the rail track and the chosen approaches to designing the transition zone as a whole. Jump and mainly occurs due to compression and pushing out of structural layers and materials of lower rigidity in the under-rail area. Shock waves caused by uneven rigidity of sections have negative consequences (the appearance of deviations in level, subsidence, distortions, increased intensity of rail wear, the appearance of rail defects), which increase the cost of maintenance of the railway track. An analysis of the accumulation of residual deformations has been carried out, which shows the systematic formation of geometric irregularities in adjacent areas in the turnout area. Practical importance: from the point of view of the design of the transition zone, the expected advantage will be the differentiation of structural materials and elements and their influence on achieving the optimal gradation of railway track rigidity in the vertical and horizontal (transverse, longitudinal directions), selection of the optimal ratio of the mechanical properties of individual elements of the superstructure structure. It should also be noted that it is necessary to conduct an additional feasibility study of the feasibility of constructing transition sections in the area where the track and switches meet, taking into account the operational features of individual railway lines.

Intelligent monitoring of marine vessel dynamics based on data mining

This study explores vessel navigation's universal characteristics and individual anomaly behavior from dispatch to destination. With the help of information technology, it introduces big data and machine learning technologies into the work of vessel traffic management and conducts statistical analysis and monitoring studies of vessel behavior from a data-driven perspective. The study was conducted by modeling vessel speed, position, course, and other navigational characteristics behavior through comprehensive statistical analysis of vessel AIS, radar, and VTS data. The study was based on the monitoring methods for anomalous behavior of vessel speed, position, and heading inconsistencies with the expected behavior identified by the model.

Pengaruh Store Atmosphere dan Kualitas Produk Terhadap Kepuasan Pelanggan pada Eiger Adventure Flagship Store Merr Surabaya: Studi pada Eiger Adventure Flagship Store Merr Surabaya

This research aims to determine and analyze the influence of store atmosphere on customer satisfaction at the Eiger Adventure Flagship Store Merr Surabaya. The method used is a quantitative research method which has a positivist philosophy, used in research on certain populations or samples, sampling techniques are generally carried out randomly, data collection uses research instruments, quantitative or statistical data analysis aims to test predetermined hypotheses. With the results of this research, there is high customer satisfaction with Eiger Adventure Flagship products at the Merr Surabaya Store for Eiger product users because of the Store Atmosphere and Product Quality which makes consumers feel satisfied with Eiger products. So it is hoped that in the future Eiger will be able to maintain and continue to improve product quality so that consumers do not feel disappointed with Eiger products and also the Eiger store will still be able to maintain and also renew the store atmosphere that has been implemented now because from the results of this research almost all respondents like the atmosphere of the Eiger store. Because with quality products and a pleasant store atmosphere, it will create customer satisfaction with a feeling of satisfaction felt by customers, so customers will become loyal to the Eiger brand.

Beyond the p-value: How descriptive statistics unlock insights in veterinary research?

Veterinary research relies heavily on data analysis to understand animal health and disease. While inferential statistics are crucial for concluding, descriptive statistics form the foundation for effective data exploration and interpretation. This review delves into the importance of descriptive statistics in veterinary science. It outlines the key objectives of descriptive analysis and provides multiple examples of its application. The application of common measures like frequency distributions, central tendency, data spread, and visualization in veterinary contexts is explored. The review emphasizes the role of descriptive statistics in establishing a strong foundation for further statistical analysis of veterinary data.

Reflection of Gender Digital Divide on Digital Financial Inclusion in Context of Indian Bankers: An Empirical Analysis

The study aims to examine the presence of gender difference in Digital Financial Inclusion of Indian bankers reflected through Gender Digital Divide. UTAUT2 model was adopted to examine the Behavioral Intention of bankers to adopt Digital Banking. Structured questionnaires framed on 5-point Likert scale were distributed among 300 bankers, selected through random sampling, and received 260 completed questionnaires. Statistical data analysis was done using PLS-SEM. Findings reveal that five out of the eight UTAUT2 factors (Perceived Usefulness, Social Influence, Hedonic Motivation, Habit, and Price Value) have significant roles for men and three have significant roles for women (Perceived Ease of Use, Personal Innovativeness, and Facilitating Conditions). Research indicates that women are trailing behind in the use of digital banking, which is concerning because their internet banking adoption and usage can motivate other women to use digital media, thereby raising their Financial Inclusion level.

The Mediating Effect of Information Technology Usage on the Relationship of Internal Audit Processes and Internal Auditor Competence towards Internal Audit Effectiveness: Evidence from the Chinese Financial Sector

The effectiveness of internal auditing is determined by various factors, such as the independence of the internal audit function, auditors’ competence, effective audit planning, efficient audit processes, and support from senior management. The digitalization and informatization of modern enterprises have transformed the way companies are managed and have similarly impacted internal audit practices. Informatization not only alters traditional internal audit processes but also changes auditors’ ways of working and thinking. From the perspective of resource-based theory, the effective allocation and full utilization of human, technological and organizational resources can enhance the effectiveness of internal audit. Therefore, the purpose of this study is to examine the impact of internal audit processes (IAP) and internal auditor competence (IAC) on internal audit effectiveness (IAE), as well as the mediating effect of information technology usage (ITU) on the relationship between IAP and IAC and IAE. To test the proposed hypotheses, a questionnaire survey was conducted within Chinese financial enterprises, yielding a total of 133 valid responses. Statistical data analysis was performed using the partial least squares structural equation modelling (SEM-PLS) method. The results indicate that both IAP and IAC have a significant impact on IAE and ITU. Furthermore, ITU serves as a mediating factor, enhancing the positive contributions of IAP and IAC to IAE.

Sinusoidal heating on convective heat transfer of nanofluid under differential technique

AbstractSinusoidal convection describes a smooth and repetitive heat transfer oscillation that reasonably calculates the optimal heat transfer for nanoparticle's intermolecular interactions. This study aims to investigate the heat transfer effects of Stokes second problem on the performance of novel fractional differential operators based on rheological characteristics of nanofluid. For the sake of augmentation in thermal characteristics of the nanofluid, the fractionalized governing equations based on the suspension of nanoparticles namely copper and silver in ethylene‐glycol have been developed. The fractional Stokes second problem is simulated with the help of transformation techniques and statistical data analysis. The analytic optimization of mathematical solutions of velocity and temperature have been established in terms of newly defined different Mittag‐Leffler functions. The statistical data for velocity field is generated by varying Hartman number, Prandtl number and Eckert number. The comparative analysis for two types of fractional differential operators of temperature distribution is perceived through bar column label, three‐dimensional color pie chart, three‐dimensional color map surface with projection, three‐dimensional bars and linear fitting of data. The comparative results revealed that temperature distribution has a significant effect and great influence on the stability of nanofluid by the embedded parameters.

Comparative Study on Continuous and Discontinuous Dorling Maps

ABSTRACTThe Dorling map, a special type of thematic map, is a widely employed tool for visualizing geospatial statistical data. It transforms regions into circles with areas proportionate to statistical values while endeavoring to maintain regional spatial relationships. Notably, two types of Dorling maps emerge, distinguished by their consideration of regional continuity: continuous and discontinuous Dorling maps. However, as of yet, the discrepancies between these two types remain inconclusive. In this paper, we employ an eye‐tracking method to investigate the efficacy of Dorling maps in two common application scenarios, namely unpurposed browsing tasks and purposeful reading tasks. To this end, we administer tasks involving region search, attribute comparison/recognition/memory, conditional selection, relationship judgment, summary, and subjective evaluation. Subsequently, we perform a statistical analysis of the eye movement data of participants when they complete the above tasks in the continuous and discontinuous Dorling maps. The results indicate that the discontinuous Dorling maps are significantly better than the continuous ones in interpretation time for forward and reverse region search, selecting conditions, and judging adjacent relationships. Continuous Dorling maps significantly outperform discontinuous maps in terms of search efficiency during attribute comparison. Moreover, continuous maps significantly outperformed discontinuous maps in terms of cognitive supplementation or reprocessing of previous regions during conditional selection. This study can help users choose the right form of Dorling map visualization according to their needs.

The role of hydrological measuring devices in monitoring changes in the flow rate of the Boudraa River during the year 2023 (sub-watershed of Oued M’hasser, Morocco).

Abstract Tracking the water flow and surface runoff is of utmost importance in light of the climate changes experienced globally and specifically in Morocco. In recent years, Morocco has been facing a significant water deficit due to declining rainfall and prolonged drought periods, which affects various water uses. As the Atlas and Rif regions serve as the natural water reservoirs for Morocco, it has become essential to track the water flow and valleys in these areas to study their hydrological behavior. This understanding is crucial for determining their functioning mechanisms and making appropriate decisions to ensure the sustainability of these resources. In this context, we have monitored the changes in the flow of Ain Boudraa in the basin of Wadi Mhasser in the Central High Atlas. We have studied the impact of climatic factors on the water flow and water levels, employing a methodology that involves statistical analysis of precipitation data from the nearby station, along with conducting hydrological measurements of the flow and construction a calibration curve.

Northward migration past the nearctic biogeographical divide; neotropical Gyrodactylus spp. infecting Astyanax have crossed the Trans-Mexican Volcanic Belt

The neotropical fish genus Astyanax (Characidae) and its associated helminths migrated northward from South America following the Great American Biotic Interchange (GABI): ca. 150 Astyanax spp. are found throughout South and Central America, up to the Mexico-USA border. Most characids are distributed south of the Trans-Mexican Volcanic Belt (TMVB), which bisects the country and represents a major transition zone between the neotropical and nearctic realms. Here, we characterize parasites of the monogenean genus Gyrodactylus infecting Astyanax spp. in Mexico: Astyanax aeneus south of the TMBV, Astyanax mexicanus north of it. Based on morphological, phylogenetic (internal transcribed spacer (ITS) and cytochrome oxidase subunit II (cox 2)) and statistical analyses of morphometric data, we confirmed the validity of Gyrodactylus pakan and Gyrodactylus teken, and erected two new species, Gyrodactylus aphaa n. sp. and Gyrodactylus ricardoi n. sp. These four gyrodactylids are part of a complex of morphologically cryptic species, which are phylogenetically closely related to each other, and sister species to Gyrodactylus carolinae and Gyrodactylus heteracanthus, parasites of characins in Brazil. Four gyrodactylid lineages (G. pakan, G. ricardoi n. sp., G. teken, Gyrodactylus sp. A) are distributed north of the TMVB; G. pakan is also widely distributed south of the TMVB, together with G. aphaa n. sp. Based on the ITS phylogeny, Brazilian parasites form a sister clade to all Mexican gyrodactylids, whose derived clades are distributed in progressively more northerly latitudes in Mexico – the three most-derived species north of the TMVB. This would suggest that gyrodactylid species diverged gradually, presumably as their characid fish hosts colonized and adapted to new environments north of the TMVB.